Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net
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Updated
Jul 21, 2021 - Python
Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net
PyTorch implementation for 2.5D U-Net segmentation of UK Biobank neck-to-knee body MRI
Code for [MLMI 2019] [KiPA22 Challenge] [AMOS 2022 Challenge] [MICCAI 2022 Workshop] Boundary-Aware Network for Medical Image Segmentation.
A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.
KiPA2022——Multi-Structure Segment for Renal Cancer Treatment.
A Python library for kidney failure risk estimation using Tangri's KFRE model
Computational models for epithelial transport along the nephron.
User-friendly software for organizing/processing/annotating ultrasound scans of sea turtles
This is latest version of sex-specific mathematical models for epithelial transport along the nephron. Models are implemented in Python 3.
Mask R-CNN Inference Tool used for Nephrology analysis
Glomerular Segmentation of Kidney Images with U-Net
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